12 citations · 13 across the 4 of their papers we have counts for
4 papers
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Collaborative Mobile crowdsourcing (CMCS) allows entities, e.g., local authorities or individuals, to hire a team of workers from the crowd of connected people, to execute complex…
Towards Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MC) is an effective way of engaging large groups of smart devices to perform tasks remotely while exploiting their built-in features. It has drawn great atten…
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MCS) is the generalized act of outsourcing sensing tasks, traditionally performed by employees or contractors, to a large group of smart-phone users by means…
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local auth…